Nearest neighbor analysis of the spread of tuberculosis in Padang

The rate of Tuberculosis (TB) cases in Padang has never dropped appreciably from year to year. Cases continue to be reported in all working regions of <em>Puskesmas</em> (primary healthcare center) although the precise transmission site is unknown. This study aims to determine the distribution pattern of TB sufferers in 4 Health Center working areas with the highest incidence using nearest neighbor analysis. This quantitative descriptive study used secondary data from the Padang Health Office and 4 working regions of primary healthcare centers from 2022 to March 2023, totaling 938 cases. The evidence is supported by actual observations of the physical conditions of the environment where TB patients live. The investigation of the ArcGIS program discovered that of the 4 working regions of primary healthcare centers. Mapping revealed that all locations showed a cluster pattern of TB transmission. It is hoped that these findings will be useful for health institutions in determining interventions so they can break the chain of TB transmission.

Authors

Institutions

Publication Details

Journal
International Journal of Public Health Science (IJPHS)
Published
2024-08-11
DOI
https://doi.org/10.11591/ijphs.v13i4.24385
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nearest neighbor analysis of the spread of tuberculosis in Padang

Neni Fitra Hayati, Indang Dewata, Heldi Heldi, Rapitos Sidiq
International Journal of Public Health Science (IJPHS)
Data Mining and Machine Learning Applications
article

Nearest neighbor analysis of the spread of tuberculosis in Padang

Neni Fitra Hayati, Indang Dewata, Heldi Heldi, Rapitos Sidiq
article en

Abstract

The rate of Tuberculosis (TB) cases in Padang has never dropped appreciably from year to year. Cases continue to be reported in all working regions of <em>Puskesmas</em> (primary healthcare center) although the precise transmission site is unknown. This study aims to determine the distribution pattern of TB sufferers in 4 Health Center working areas with the highest incidence using nearest neighbor analysis. This quantitative descriptive study used secondary data from the Padang Health Office and 4 working regions of primary healthcare centers from 2022 to March 2023, totaling 938 cases. The evidence is supported by actual observations of the physical conditions of the environment where TB patients live. The investigation of the ArcGIS program discovered that of the 4 working regions of primary healthcare centers. Mapping revealed that all locations showed a cluster pattern of TB transmission. It is hoped that these findings will be useful for health institutions in determining interventions so they can break the chain of TB transmission.

International Journal of Public Health Science (IJPHS)Vol. 13(4)
State University of Padang (ID), Institut Teknologi Padang (ID)
Good health and well-being
Openalex Percentile: Top 81%
Data Mining and Machine Learning Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.